Publications

• Synchronizing Network Probes to avoid Measurement Intrusiveness with the Network Weather Service (compressed postscript) or (PDF), B. Gaidioz, R. Wolski, and B. Tourancheau, Proceedings of 9th IEEE High-performance Distributed Computing Conference, August, 2000, pp. 147-154.
• 
  
• Using JavaNWS to Compare C and Java TCP-Socket Performance (compressed postscript) or (PDF) , C. Krintz and R. Wolski, (to appear) Journal of Concurrency and Practice and Experience, Volume 13, Number 8-9, pp. 815-839, 2001.
• 
  
• The Network Weather Service: A Distributed Resource Performance Forecasting Service for Metacomputing (compressed postscript) Rich Wolski, Neil Spring, and Jim Hayes, Journal of Future Generation Computing Systems, 1998 (also available as UCSD Technical Report Number CS98-599
• 
  
• Matthew S. Allen, Rich Wolski, "The Livny and Plank-Beck Problems: Studies in Data Movement on the Computational Grid", Supercomputing 2003 (SC20O3), Phoenix, Arizona, November 15-21, 2003.
• 
  
• Matthew S. Allen, Rich Wolski, James S. Plank, "Adaptive Timeout Discovery using the Network Weather Service", High Performance Distributed Computing (HPDC-11), Edinburgh, Scotland, July 24-26, 2002.
• 
  
• James S. Plank, Rich Wolski and Matthew Allen, "The Effect of Timeout Prediction and Selection on Wide Area Collective Operations", The IEEE International Symposium on Network Computing and Applications, Cambridge, MA, February 11-13, 2002.
• 
  
• Rich Wolski, James S. Plank, John Brevik and Todd Bryan, ``G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid,'' International Parallel and Distributed Processing Symposium (IPDPS), April, 2001.
• 
  
• Rich Wolski, James S. Plank, John Brevik and Todd Bryan, ``Analyzing Market-based Resource Allocation Strategies for the Computational Grid,'' International Journal Of High Performance Computing Applications, 15(3), Fall, 2001, pp. 258-281. Sage Science Press.
• 
  
• Rich Wolski, James Plank, John Brevik, Todd Bryan, ``Grid Resource Allocation and Control Using Computational Economies'', in Grid Computing: Making the Global Infrastructure a Reality, Berman, Fox, and Hey, eds. TJ Wiley, 2003.
• 
  
• Rich Wolski, James S. Plank, John Brevik and Todd Bryan, ``G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid'', University of Tennessee Technical Report CS-00-450, October, 2000.
• 
  
• Rich Wolski, James S. Plank, John Brevik and Todd Bryan, ``Analyzing Market-based Resource Allocation Strategies for the Computational Grid'' , University of Tennessee Technical Report CS-00-453, December, 2000.
• 
  
• Chandra Krintz, Ye Wen, and Rich Wolski, Predicting Program Power Consumption, July, 2002, UCSB Technical Report #2002-20
• 
  
• Rich Wolski, Chandra Krintz, and Ye Wen, Application-level Prediction of Program Power Dissipation, May, 2002, UCSB Technical Report #2002-10
• 
  
• W. Chrabakh, R. Wolski, "Solving "hard" satisfiability problems using GridSAT", LACSI 2004. (ps) (pdf)
• 
  
• W. Chrabakh, R. Wolski, "GridSAT: A Chaff-based Distributed SAT Solver for the Grid", Supercomputing Conference, November 2003, Phoenix, AZ. (ps) (pdf)
• 
  
• GrADSAT: A Parallel SAT solver for the Grid UCSB Technical Report 2003-05 (pdf) (ps)
•